Artificial intelligence (AI) is evolving autonomous driving, enabling commercial availability of semi-autonomous cars and advancing self-driving vehicles.
AI, machine learning, and neural networks are improving driving experience, vehicle’s safety, efficiency, and performance.
AI in automotive is in the early stage of development. The further advancements of AI-based autonomous cars will be concentrated on the building of safe and robust automated systems.
Automotive AI-related collaborations, partnerships, and acquisitions in the future will be accelerated globally.
Join the subject-matter experts at the #VLAIauto 2023 to explore the next generation AI for automated and self-driving vehicles.Read more
Automotive artificial intelligence (AI) is one of the most trending topics now in the automotive industry, complimenting autonomous driving subjects.
AI in automotive is in the early stage of development, therefore the corresponding questions have arisen:
AI in automated vehicles better recognises pedestrians’ and drivers’ behaviour, traffic patterns, and road and weather conditions, enabling important automobilism and vehicle functions such as:
There are many applications of AI in the automotive industry:
Better driving experience, vehicle’s safety, efficiency, and performance relies heavily on the combination of:
Currently AI in automotive has already been implemented for
The recent developments of smart automotive is determined by environmental perception, where driver's decision-making is heavily depends on:
Autonomous driving cars with embedded computer technology and connectivity provide the complex functions:
Highly accurate autonomous driving will be enabled by a balanced combination of:
AI is evolving autonomous driving, enabling commercial availability of semi-autonomous cars and advancing self-driving vehicles.
Future breakthroughs in AI automotive are expected to solve even more complex problems of automated driving, electric vehicles, and software-first automotive companies such as Tesla and Uber.
The further development of autonomous cars will be concentrated on the building of safe and robust automated systems.
Automotive AI-related collaborations, partnerships, and acquisitions will be accelerated in the future globally, since OEMs started actively looking for innovative technologies providers in order to stay ahead of competition.
With the key stakeholders in automotive at the #VLAIauto we will explore the next generation AI for automated and self-driving cars
Join the experts at the 2nd AI Automotive Summit on April 27-28, 2023.
See you at #VLAIauto!
Chief Executives, Directors, Vice Presidents, Department Heads, Leaders, and Managers specialising in:
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Dipl. Ing. Jörg Schrepfer graduated from Friedrich Alexander University with a degree in electrical engineering. From 1998-12 he held various positions in the pre-development and development of product areas such as automotive DVD players, displays, gateways and new bus systems. From 2012-14 he was the ASL vision director for business development in Germany at Image Processing Solutions. From 2014-16 he worked at Continental as a senior manager of technical sales and R&D Kronach, specialising in surround-view camera systems for vehicles. Since 2017, Jörg has been the head of driver assistance research Germany at Valeo. He works on algorithms and functions for laser scanners, cameras and ultrasound, as well as algorithms for autonomous driving using deep learning.
Eduard Dojan has been working on functional safety with a focus on software development for over 12 years now. In his current position, he is responsible for the software and artificial intelligence product group at SGS-TÜV Saar. As a qualified computer scientist with 18 years of professional experience in the automotive sector, Eduard worked on tasks involving technical, in-depth analysis and set standards for software products and processes in automotive applications. In addition, Eduard worked as a safety manager in all areas of functional safety in the automotive sector and is represented in committees for functional safety and artificial intelligence.
Aleksander Spychala is an automotive ADAS engineer for Ford Motors. Aleksander graduated from the University of Southampton, UK, in 2015 with a master's degree in mechanical engineering/mechatronics as a scholar of the Fahrenheit Scholarship awarded by the mayor of his hometown Gdansk, Poland. Having completed engineering internships in Kenya and England, Aleksander joined Ford in Cologne, Germany, and became the predictive dynamic bending light feature's owner. In that role, as well as his current position at Ford's ADAS department, Aleksander began employing AI methods to improve the on-road performance of intelligent lighting features. In 2022, he also commenced a degree in human technology in sports and medicine at the German Sport University in Cologne.
Mohammad founded Deepen AI in 2017 to solve critical bottlenecks preventing faster adoption of autonomy and robotics products. He was a product strategy manager for Google Apps, now part of Google Cloud Platform.
Murat Erdogan is head of safety assessment at Veoneer for the entire product portfolio including camera, radar, ADAS (brain) fusion, LiDAR, and restraint control systems.
In 2010, Murat finished his MSc in electrical engineering at the University of Kassel and worked as a scientist officer for a year in the institutes computational electronics and photonics and microwave electronics.
In 2011, he has started to work as a scientific officer for the applied research institute Fraunhofer IESE in Kaiserslautern within the embedded systems quality assurance team. Here he has contributed to several industrial and scientist research projects, among them ARAMIS, SPES, and VierforES.
In 2014, he decided to go from research into the automotive industry and started to work for EFS (electronic chassis systems) in Ingolstadt as a safety engineer and later as a safety manager for diverse chassis and ADAS projects.
Between 2016 and 2017 he took the lead safety manager position within Visteon for a high-complex body domain controller project. Here he led 10-12 safety engineers and safety managers.
In 2017, he took over the disciplinary leadership for the forward-looking-camera safety management team within Autoliv in Linköping, Sweden. During this time, he was also Autoliv’s lead safety line manager in Sweden.
In July 2018, he was assigned as global lead safety manager to Veoneer and led the global functional safety organisation with support on different products like camera vision, radar, LiDAR, fusion, restrain control systems, and brake systems.
Since April 2020, he has been officially leading Veoneer’s global confirmation measures organisation, which he has completely developed.
Dr. Dalong Li is director of applied data science at Torc Robotics. In his current role, he leads teams to work on data centric AI to support self-driving truck software development. He is the first one to introduce SVMs into image processing and published his work at IEEE Transactions on Neural Networks. He earned a PhD degree from Georgia Institute of Technology. He has more than 20 US patents in the areas of image processing, computer vision, and machine learning during his employment with HP, Motorola, Continental, Stellantis and Torc Robotics.
As CTO of NNG, Martin Pfeifle is leading NNG’s innovation activities around Connected Navigation, Cloud, and ADAS applications. Before, Martin was leading Visteon’s environmental perception activities with a focus on sensor fusion. Martin and his team delivered the environment model that will be the basis for the decision-making of Visteon’s autonomous driving approach. Martin is also responsible for digital maps, localization, and positioning, working on all matters concerned with how the vehicle understands where it is and what is going on around it. With more than 40 patents to his name, Martin is an expert in NDS and ADAS databases and applications, as well as data mining and sensor fusion. He is based in Karlsruhe, Germany. Before joining Visteon, Martin worked at the universities of Munich and Heidelberg as a researcher and temporary professor in the area of data mining on spatial, temporal, and uncertain data. For more than 10 years, he has worked in the area of infotainment and ADAS for Continental and for HERE, the leading digital map provider.
Divya is an engineer and researcher working in the autonomous vehicle and robotics industry. She has secured 12 patents in autonomous driving and has seen first-hand the progress being made toward making self-driving cars a reality at Nio and Delphi. Her most recent work at Nio was published at the IEEE International Conference for Robotics and Automation 2020. She is currently working as a roboticist at Facebook. Divya is speaking in a personal capacity and any views expressed are her own.
Jamie Smith has more than twenty-five years of embedded design and test & measurement experience in safety-critical industries. Over the past six years, Jamie has worked extensively in the area of autonomous and electrical vehicle test. He has led advanced research projects in simulation, V2x, and sensor testing. He is currently the VP of Product Management for Safety-Critical Systems at Imandra.
Jamie earned a Master of Science in Applied Physics from Stanford and a Bachelor's in Physics from UC Santa Barbara.
Jan Lange is a senior defensive security expert at CARIAD SE, a Volkswagen Group company. He is currently focussed on building an end-to-end solution for defensive security operations spanning both the vehicle fleet and connected backend systems, bringing much needed defensive security capabilities into the automotive world. Before joining CARIAD in January 2021, he worked for several years in the insurance industry for Allianz Deutschland’s incident response and vulnerability management teams, one of Germany’s largest companies. Parallel to his employment at Allianz he completed his master’s degree in IT security, focussing on memory forensics and contributing to the Volatility memory analysis framework. He is a committed member of the blue team by heart and is supporting CARIAD’s vision to build the most security mobility products.
Born in Munich Dr. Jens Henkner was studying Aerospace Engineering at the Technical University Munich. After his studies completed, he served as assistant professor and finished his PhD thesis in aerospace engineering in 1999. Jens served since then more than 20 years as senior technology executive with influential leadership in different areas. Starting his professional career at Fairchild Dornier in Oberpfaffenhofen as head of the flight physics team for the Do 728, he became chief engineer for the whole 70-seater jet aircraft development program later on. He joined Airbus in 2003 as VP and chief engineer for the A330/340 program ensuring the safety of the flying fleet. Further positions at Airbus included the program management for the A350 carbon fibre fuselage and SVP for freighter conversion centre at the Airbus subsidiary EFW in Dresden. Jens Henkner joined Suzlon in 2010 as VP for Program Management and Product Policy and as of 2012 as President Technology and MD of Suzlon Energy GmbH heading the technology and the program management teams of the Indian wind turbine OEM in India, Germany, The Netherlands and Denmark. In 2018 he co-created CertX the first Swiss certification body for functional safety and security located in the canton of Freiburg (Fribourg) close to Bern. Jens is 56 years old and in his free time he enjoys all kind of mountain sports.
Dr. Ulrich Wurstbauer is chief technologist for autonomous driving at Luxoft. His global role’s responsibility covers strategic developments in the field of autonomous vehicles, AD function development and virtual validation. Before he had a strong focus on simulation and digital twin technologies within automotive and aerospace industries. Prior to joining industry, he received a PhD in the area of solid-state physics where he also did his post-doc at the Columbia University in New York City. There he worked on the newly developed 2D material graphene with its unique and very special quantum physics behavior. Ulrich has authored more than a dozen research papers in addition to filing several national and international patent applications.
Dr. Stefan Nürnberger is an exceptionally qualified and experienced expert in automotive software, having both successfully published numerous papers and founded the cutting-edge company 'VEECLE', which is revolutionizing the automotive industry. He's a professor gone startup. In his professor and research life, he published numerous papers at the world's best venues and won international prizes for it. He founded VEECLE, a modern vehicle OS and automotive software stack written in the secure language RUST, enabling carmakers to deliver on the promise of future mobility such as autonomous driving and ride-hailing and personal profiles in every car. Technologies that are only possible based on a software-defined car, based on VEECLE.
Dr. Kirsten Matheus is an engineer and economist. She has worked in the automotive industry since 2003, and been with BMW since 2009. At BMW she is responsible for the strategy for the in-vehicle networking technologies. This entails ensuring the availability of suitable in-vehicle networking technologies ahead of time. In this context she successfully introduced ethernet as a networking technology into the automotive industry. In her opinion, only open standards provide the basis for long-term sustainability of networking technologies. She and her former colleague Thomas Königseder describe their experiences, background, and technical concepts behind the use of ethernet in the automotive industry in a book titled “Automotive Ethernet”. Her new book, co-authored by her colleague Michael Kaindl, “Automotive High Speed Communication Technologies, SerDes and Ethernet for Sensor and Display Applications”, was published in autumn 2022.
Paula Palade holds a PhD in electrical engineering and works for Jaguar Land Rover as an artificial intelligence ethics and standardisation manager, and in parallel researches the topic of ethics of connected and automated vehicles in collaboration with Bradford University.
Paula has published, as part of an independent group of experts, a report commissioned by the European Commission on Ethics of Connected and Automated Vehicles (CAVs). The report includes 20 recommendations covering dilemma situations, the creation of a culture of responsibility, and the promotion of data, algorithm, and AI literacy through public participation.
Paula is a BSI delegate representing Jaguar Land Rover and automotive group expert on the ISO TC241 road traffic safety management systems WG6 - Guidance on safety ethical considerations for autonomous vehicles, contributing to the future requirement standard ISO 39003.
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Artificial intelligence in the automotive industry is a subject everyone is talking about. I feel honored to attend this trending summit and to meet personally the flagship professionals, working with the AI in automated driving, as well as experts dealing specifically with sensors and electronics. Congratulations to Vonlanthen for the well organization of the summit.
Which new AI applications in automotive could we accept, and what is a current experience of automotive AI adoption? These questions for me are the key, and I got many insights, which will influence my company roadmap next year. I had a chance to meet here many partners we were dealing with before, as well as new industry players. It was very pleasant experience. I will be glad to attend the AI Automotive Summit again.
I liked the topics, the invited speakers and the lively comfortable atmosphere. I found the AI Automotive conference very useful to learn, explore and to create new connections. In my opinion, and the opinion of my colleagues, this inaugural conference was a great success, we are very looking forward to the next edition. Wishing Vonlanthen to continue growing their horizons.